![]() ![]() It also suggests that we are more vulnerable to losing data if we have a master failure. Under-replicated partitions tell us that replication is not going as fast as configured, which adds latency as consumers don't get the data they need until messages are replicated. Let's walk through a few scenarios and how we can use Unravel's KPIs to help us through troubleshooting issues. Red = Unhealthy and is something you will want to investigate.Unravel provides color-coded KPIs per cluster to give you a quick overall view on the health of your Kafka cluster. ![]() It is also assumed you have a baseline knowledge of Kafka concepts and architecture. This tutorial is geared to showing you best practices in using Unravel to monitor your Kafka environments. These tools also fail to provide insight/visibility down to the applications acting as consumers that are processing Kafka data streams.įor Unravel customers, Kafka monitoring and insights come out-of-the-box with your installation. There are out-of-the-box solutions like Ambari and Cloudera Manager which provide some high-level monitoring however, most customers find these tools to be insufficient for troubleshooting purposes. ![]() Customers with Kafka clusters struggle to understand what is happening in their Kafka implementations. ![]()
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May 2023
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